bigmart

Dataset statistics

Number of variables	12
Number of observations	8523
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	799.2 KiB
Average record size in memory	96.0 B

Variable types

Numeric	8
Categorical	4

Warnings

`Item_MRP` is highly correlated with `Item_Outlet_Sales`	High correlation
`Outlet_Identifier` is highly correlated with `Outlet_Size` and 1 other fields	High correlation
`Outlet_Size` is highly correlated with `Outlet_Identifier` and 1 other fields	High correlation
`Outlet_Location_Type` is highly correlated with `Outlet_Identifier` and 1 other fields	High correlation
`Item_Outlet_Sales` is highly correlated with `Item_MRP`	High correlation
`Item_MRP` is highly correlated with `Item_Outlet_Sales`	High correlation
`Outlet_Identifier` is highly correlated with `Outlet_Location_Type`	High correlation
`Outlet_Size` is highly correlated with `Outlet_Location_Type`	High correlation
`Outlet_Location_Type` is highly correlated with `Outlet_Identifier` and 1 other fields	High correlation
`Item_Outlet_Sales` is highly correlated with `Item_MRP`	High correlation
`Outlet_Identifier` is highly correlated with `Outlet_Location_Type`	High correlation
`Outlet_Size` is highly correlated with `Outlet_Location_Type`	High correlation
`Outlet_Location_Type` is highly correlated with `Outlet_Identifier` and 1 other fields	High correlation
`Item_Weight` is highly correlated with `Outlet_Identifier` and 1 other fields	High correlation
`Outlet_Location_Type` is highly correlated with `Outlet_Identifier` and 3 other fields	High correlation
`Item_MRP` is highly correlated with `Item_Outlet_Sales`	High correlation
`Outlet_Identifier` is highly correlated with `Item_Weight` and 5 other fields	High correlation
`Item_Identifier` is highly correlated with `Item_Type`	High correlation
`Outlet_Type` is highly correlated with `Item_Weight` and 3 other fields	High correlation
`Item_Type` is highly correlated with `Item_Identifier`	High correlation
`Outlet_Size` is highly correlated with `Outlet_Location_Type` and 2 other fields	High correlation
`Outlet_Establishment_Year` is highly correlated with `Outlet_Location_Type` and 3 other fields	High correlation
`Item_Outlet_Sales` is highly correlated with `Item_MRP` and 1 other fields	High correlation
`Outlet_Type` is highly correlated with `Outlet_Location_Type`	High correlation
`Outlet_Location_Type` is highly correlated with `Outlet_Type`	High correlation
`Item_Visibility` has 526 (6.2%) zeros	Zeros
`Item_Type` has 648 (7.6%) zeros	Zeros
`Outlet_Identifier` has 555 (6.5%) zeros	Zeros

Reproduction

Analysis started	2021-07-31 05:37:43.869381
Analysis finished	2021-07-31 05:38:23.882976
Duration	40.01 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Item_Identifier
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1559
Distinct (%)	18.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	779.7148891

Minimum	0
Maximum	1558
Zeros	6
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	0
5-th percentile	77.1
Q1	395.5
median	783
Q3	1167
95-th percentile	1477
Maximum	1558
Range	1558
Interquartile range (IQR)	771.5

Descriptive statistics

Standard deviation	449.2223766
Coefficient of variation (CV)	0.5761367172
Kurtosis	-1.195555354
Mean	779.7148891
Median Absolute Deviation (MAD)	386
Skewness	-0.008877177849
Sum	6645510
Variance	201800.7436
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
413	10	0.1%
1077	10	0.1%
702	9	0.1%
390	9	0.1%
1454	9	0.1%
1542	9	0.1%
750	9	0.1%
1276	9	0.1%
35	9	0.1%
301	9	0.1%
Other values (1549)	8431	98.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.1%
1	7	0.1%
2	8	0.1%
3	3	< 0.1%
4	5	0.1%
5	4	< 0.1%
6	6	0.1%
7	7	0.1%
8	6	0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
1558	7	0.1%
1557	5	0.1%
1556	5	0.1%
1555	5	0.1%
1554	7	0.1%
1553	4	< 0.1%
1552	7	0.1%
1551	6	0.1%
1550	7	0.1%
1549	3	< 0.1%

Item_Weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	416
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.85764518

Minimum	4.555
Maximum	21.35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	4.555
5-th percentile	6.13
Q1	9.31
median	12.85764518
Q3	16
95-th percentile	20.19
Maximum	21.35
Range	16.795
Interquartile range (IQR)	6.69

Descriptive statistics

Standard deviation	4.226123725
Coefficient of variation (CV)	0.3286856702
Kurtosis	-0.8602944788
Mean	12.85764518
Median Absolute Deviation (MAD)	3.342354816
Skewness	0.09056145192
Sum	109585.7099
Variance	17.86012174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.85764518	1463	17.2%
12.15	86	1.0%
17.6	82	1.0%
13.65	77	0.9%
11.8	76	0.9%
15.1	68	0.8%
9.3	68	0.8%
16.7	66	0.8%
10.5	66	0.8%
19.35	63	0.7%
Other values (406)	6408	75.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.555	4	< 0.1%
4.59	5	0.1%
4.61	7	0.1%
4.615	4	< 0.1%
4.635	5	0.1%
4.785	5	0.1%
4.805	4	< 0.1%
4.88	5	0.1%
4.905	2	< 0.1%
4.92	5	0.1%

Value	Count	Frequency (%)
21.35	7	0.1%
21.25	24	0.3%
21.2	5	0.1%
21.1	17	0.2%
21	6	0.1%
20.85	35	0.4%
20.75	39	0.5%
20.7	62	0.7%
20.6	38	0.4%
20.5	44	0.5%

Item_Fat_Content
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	66.7 KiB

1	5089
2	2889
0	316
4	117
3	112

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8523
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	5089	59.7%
2	2889	33.9%
0	316	3.7%
4	117	1.4%
3	112	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5089	59.7%
2	2889	33.9%
0	316	3.7%
4	117	1.4%
3	112	1.3%

Most occurring characters

Value	Count	Frequency (%)
1	5089	59.7%
2	2889	33.9%
0	316	3.7%
4	117	1.4%
3	112	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8523	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5089	59.7%
2	2889	33.9%
0	316	3.7%
4	117	1.4%
3	112	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	8523	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5089	59.7%
2	2889	33.9%
0	316	3.7%
4	117	1.4%
3	112	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8523	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5089	59.7%
2	2889	33.9%
0	316	3.7%
4	117	1.4%
3	112	1.3%

Item_Visibility
Real number (ℝ_≥0)

ZEROS

Distinct	7880
Distinct (%)	92.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.06613202878

Minimum	0
Maximum	0.328390948
Zeros	526
Zeros (%)	6.2%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0269894775
median	0.053930934
Q3	0.0945852925
95-th percentile	0.1637797636
Maximum	0.328390948
Range	0.328390948
Interquartile range (IQR)	0.067595815

Descriptive statistics

Standard deviation	0.05159782232
Coefficient of variation (CV)	0.7802243977
Kurtosis	1.679445483
Mean	0.06613202878
Median Absolute Deviation (MAD)	0.030972154
Skewness	1.16709055
Sum	563.6432813
Variance	0.002662335268
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	526	6.2%
0.076975118	3	< 0.1%
0.041283361	2	< 0.1%
0.085622362	2	< 0.1%
0.187841082	2	< 0.1%
0.134975628	2	< 0.1%
0.107223632	2	< 0.1%
0.085274988	2	< 0.1%
0.076855628	2	< 0.1%
0.059835659	2	< 0.1%
Other values (7870)	7978	93.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	526	6.2%
0.003574698	1	< 0.1%
0.003589104	1	< 0.1%
0.003597678	1	< 0.1%
0.003599378	1	< 0.1%
0.003606726	1	< 0.1%
0.003612411	1	< 0.1%
0.005209791	1	< 0.1%
0.005230786	1	< 0.1%
0.005234153	1	< 0.1%

Value	Count	Frequency (%)
0.328390948	1	< 0.1%
0.325780807	1	< 0.1%
0.32111501	1	< 0.1%
0.311090379	1	< 0.1%
0.309390255	1	< 0.1%
0.308145448	1	< 0.1%
0.306542848	1	< 0.1%
0.305305397	1	< 0.1%
0.304859104	1	< 0.1%
0.304737387	1	< 0.1%

Item_Type
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.226680746

Minimum	0
Maximum	15
Zeros	648
Zeros (%)	7.6%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	6
Q3	10
95-th percentile	14
Maximum	15
Range	15
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.209989863
Coefficient of variation (CV)	0.5825620379
Kurtosis	-0.9662196602
Mean	7.226680746
Median Absolute Deviation (MAD)	3
Skewness	0.1016546244
Sum	61593
Variance	17.72401464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
6	1232	14.5%
13	1200	14.1%
9	910	10.7%
5	856	10.0%
4	682	8.0%
3	649	7.6%
0	648	7.6%
8	520	6.1%
14	445	5.2%
10	425	5.0%
Other values (6)	956	11.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	648	7.6%
1	251	2.9%
2	110	1.3%
3	649	7.6%
4	682	8.0%
5	856	10.0%
6	1232	14.5%
7	214	2.5%
8	520	6.1%
9	910	10.7%

Value	Count	Frequency (%)
15	148	1.7%
14	445	5.2%
13	1200	14.1%
12	64	0.8%
11	169	2.0%
10	425	5.0%
9	910	10.7%
8	520	6.1%
7	214	2.5%
6	1232	14.5%

Item_MRP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5938
Distinct (%)	69.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.992782

Minimum	31.29
Maximum	266.8884
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	31.29
5-th percentile	42.5167
Q1	93.8265
median	143.0128
Q3	185.6437
95-th percentile	250.76924
Maximum	266.8884
Range	235.5984
Interquartile range (IQR)	91.8172

Descriptive statistics

Standard deviation	62.27506651
Coefficient of variation (CV)	0.4416897492
Kurtosis	-0.8897690937
Mean	140.992782
Median Absolute Deviation (MAD)	46.0376
Skewness	0.1272022683
Sum	1201681.481
Variance	3878.183909
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
172.0422	7	0.1%
188.1872	6	0.1%
170.5422	6	0.1%
109.5228	6	0.1%
196.5084	6	0.1%
142.0154	6	0.1%
196.5768	6	0.1%
192.2478	5	0.1%
143.2154	5	0.1%
108.6912	5	0.1%
Other values (5928)	8465	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31.29	1	< 0.1%
31.49	1	< 0.1%
31.89	1	< 0.1%
31.9558	2	< 0.1%
32.0558	1	< 0.1%
32.09	1	< 0.1%
32.3558	1	< 0.1%
32.4558	1	< 0.1%
32.49	1	< 0.1%
32.6558	2	< 0.1%

Value	Count	Frequency (%)
266.8884	2	< 0.1%
266.6884	2	< 0.1%
266.5884	2	< 0.1%
266.2884	1	< 0.1%
266.1884	2	< 0.1%
266.0226	1	< 0.1%
265.8884	1	< 0.1%
265.7884	1	< 0.1%
265.6884	1	< 0.1%
265.5568	1	< 0.1%

Outlet_Identifier
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.722280887

Minimum	0
Maximum	9
Zeros	555
Zeros (%)	6.5%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.837201297
Coefficient of variation (CV)	0.6008116343
Kurtosis	-1.260779927
Mean	4.722280887
Median Absolute Deviation (MAD)	3
Skewness	-0.05986138181
Sum	40248
Variance	8.049711202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	935	11.0%
1	932	10.9%
6	930	10.9%
9	930	10.9%
8	930	10.9%
7	929	10.9%
3	928	10.9%
2	926	10.9%
0	555	6.5%
4	528	6.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	555	6.5%
1	932	10.9%
2	926	10.9%
3	928	10.9%
4	528	6.2%
5	935	11.0%
6	930	10.9%
7	929	10.9%
8	930	10.9%
9	930	10.9%

Value	Count	Frequency (%)
9	930	10.9%
8	930	10.9%
7	929	10.9%
6	930	10.9%
5	935	11.0%
4	528	6.2%
3	928	10.9%
2	926	10.9%
1	932	10.9%
0	555	6.5%

Outlet_Establishment_Year
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1997.831867

Minimum	1985
Maximum	2009
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	1985
5-th percentile	1985
Q1	1987
median	1999
Q3	2004
95-th percentile	2009
Maximum	2009
Range	24
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	8.371760408
Coefficient of variation (CV)	0.004190422902
Kurtosis	-1.205693917
Mean	1997.831867
Median Absolute Deviation (MAD)	5
Skewness	-0.3966407859
Sum	17027521
Variance	70.08637233
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1985	1463	17.2%
1987	932	10.9%
1999	930	10.9%
1997	930	10.9%
2004	930	10.9%
2002	929	10.9%
2009	928	10.9%
2007	926	10.9%
1998	555	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1985	1463	17.2%
1987	932	10.9%
1997	930	10.9%
1998	555	6.5%
1999	930	10.9%
2002	929	10.9%
2004	930	10.9%
2007	926	10.9%
2009	928	10.9%

Value	Count	Frequency (%)
2009	928	10.9%
2007	926	10.9%
2004	930	10.9%
2002	929	10.9%
1999	930	10.9%
1998	555	6.5%
1997	930	10.9%
1987	932	10.9%
1985	1463	17.2%

Outlet_Size
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	66.7 KiB

1	5203
2	2388
0	932

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8523
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	5203	61.0%
2	2388	28.0%
0	932	10.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5203	61.0%
2	2388	28.0%
0	932	10.9%

Most occurring characters

Value	Count	Frequency (%)
1	5203	61.0%
2	2388	28.0%
0	932	10.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8523	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5203	61.0%
2	2388	28.0%
0	932	10.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	8523	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5203	61.0%
2	2388	28.0%
0	932	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8523	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5203	61.0%
2	2388	28.0%
0	932	10.9%

Outlet_Location_Type
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	66.7 KiB

2	3350
1	2785
0	2388

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8523
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	0
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	3350	39.3%
1	2785	32.7%
0	2388	28.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	3350	39.3%
1	2785	32.7%
0	2388	28.0%

Most occurring characters

Value	Count	Frequency (%)
2	3350	39.3%
1	2785	32.7%
0	2388	28.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8523	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	3350	39.3%
1	2785	32.7%
0	2388	28.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8523	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	3350	39.3%
1	2785	32.7%
0	2388	28.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8523	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	3350	39.3%
1	2785	32.7%
0	2388	28.0%

Outlet_Type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	66.7 KiB

1	5577
0	1083
3	935
2	928

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8523
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	5577	65.4%
0	1083	12.7%
3	935	11.0%
2	928	10.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5577	65.4%
0	1083	12.7%
3	935	11.0%
2	928	10.9%

Most occurring characters

Value	Count	Frequency (%)
1	5577	65.4%
0	1083	12.7%
3	935	11.0%
2	928	10.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8523	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5577	65.4%
0	1083	12.7%
3	935	11.0%
2	928	10.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	8523	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5577	65.4%
0	1083	12.7%
3	935	11.0%
2	928	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8523	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5577	65.4%
0	1083	12.7%
3	935	11.0%
2	928	10.9%

Item_Outlet_Sales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3493
Distinct (%)	41.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2181.288914

Minimum	33.29
Maximum	13086.9648
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	66.7 KiB

Quantile statistics

Minimum	33.29
5-th percentile	188.4214
Q1	834.2474
median	1794.331
Q3	3101.2964
95-th percentile	5522.811
Maximum	13086.9648
Range	13053.6748
Interquartile range (IQR)	2267.049

Descriptive statistics

Standard deviation	1706.499616
Coefficient of variation (CV)	0.7823354371
Kurtosis	1.615876681
Mean	2181.288914
Median Absolute Deviation (MAD)	1081.925
Skewness	1.177530603
Sum	18591125.41
Variance	2912140.938
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
958.752	17	0.2%
1342.2528	16	0.2%
1845.5976	15	0.2%
703.0848	15	0.2%
1278.336	14	0.2%
1230.3984	14	0.2%
1416.8224	13	0.2%
1438.128	12	0.1%
759.012	12	0.1%
575.2512	12	0.1%
Other values (3483)	8383	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
33.29	2	< 0.1%
33.9558	1	< 0.1%
34.6216	1	< 0.1%
35.2874	1	< 0.1%
36.619	2	< 0.1%
37.2848	1	< 0.1%
37.9506	5	0.1%
38.6164	2	< 0.1%
39.948	2	< 0.1%
40.6138	2	< 0.1%

Value	Count	Frequency (%)
13086.9648	1	< 0.1%
12117.56	1	< 0.1%
11445.102	1	< 0.1%
10993.6896	1	< 0.1%
10306.584	1	< 0.1%
10256.649	1	< 0.1%
10236.675	1	< 0.1%
10072.8882	1	< 0.1%
9779.9362	1	< 0.1%
9678.0688	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Item_Identifier	Item_Weight	Item_Fat_Content	Item_Visibility	Item_Type	Item_MRP	Outlet_Identifier	Outlet_Establishment_Year	Outlet_Size	Outlet_Location_Type	Outlet_Type	Item_Outlet_Sales
0	156	9.300000	1	0.016047	4	249.8092	9	1999	1	0	1	3735.1380
1	8	5.920000	2	0.019278	14	48.2692	3	2009	1	2	2	443.4228
2	662	17.500000	1	0.016760	10	141.6180	9	1999	1	0	1	2097.2700
3	1121	19.200000	2	0.000000	6	182.0950	0	1998	1	2	0	732.3800
4	1297	8.930000	1	0.000000	9	53.8614	1	1987	0	2	1	994.7052
5	758	10.395000	2	0.000000	0	51.4008	3	2009	1	2	2	556.6088
6	696	13.650000	2	0.012741	13	57.6588	1	1987	0	2	1	343.5528
7	738	12.857645	1	0.127470	13	107.7622	5	1985	1	2	3	4022.7636
8	440	16.200000	2	0.016687	5	96.9726	7	2002	1	1	1	1076.5986
9	990	19.200000	2	0.094450	5	187.8214	2	2007	1	1	1	4710.5350

Last rows

	Item_Identifier	Item_Weight	Item_Fat_Content	Item_Visibility	Item_Type	Item_MRP	Outlet_Identifier	Outlet_Establishment_Year	Outlet_Size	Outlet_Location_Type	Outlet_Type	Item_Outlet_Sales
8513	449	12.000	2	0.020407	10	99.9042	6	2004	2	1	1	595.2252
8514	145	15.000	2	0.054489	3	57.5904	7	2002	1	1	1	468.7232
8515	445	20.700	1	0.021518	0	157.5288	3	2009	1	2	2	1571.2880
8516	1356	18.600	1	0.118661	11	58.7588	3	2009	1	2	2	858.8820
8517	389	20.750	4	0.083607	5	178.8318	8	1997	2	0	1	3608.6360
8518	370	6.865	1	0.056783	13	214.5218	1	1987	0	2	1	2778.3834
8519	897	8.380	2	0.046982	0	108.1570	7	2002	1	1	1	549.2850
8520	1357	10.600	1	0.035186	8	85.1224	6	2004	2	1	1	1193.1136
8521	681	7.210	2	0.145221	13	103.1332	3	2009	1	2	2	1845.5976
8522	50	14.800	1	0.044878	14	75.4670	8	1997	2	0	1	765.6700

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows